Real-Time Detection of Phishing Tweets

Autor:	Smriti Maheshwari, Shweta Chahar, Nishant Sharma, Vishakha Tiwari, Nilesh Sharma
Rok vydání:	2014
Předmět:	Service (systems architecture) Engineering business.industry Web application framework End user Microblogging Internet privacy computer.software_genre Phishing World Wide Web Social media InformationSystems_MISCELLANEOUS business computer Spoofed URL
Zdroj:	Computer Science & Information Technology ( CS & IT ).
DOI:	10.5121/csit.2014.4727
Popis:	Twitter is an immensely popular social networking site and micro blogging service where people post short messages of 140 characters called tweets. Phishers have started using Twitter as a medium to spread phishing scams because of the fast spread of information. We deployed our system for end users by providing an easy to use “Web framework” which takes the tweet id and the specific keyword, and in return it will give tweets indicating legitimate or unsafe. We have a green background indicating a legitimate or safe URL and red symbols indicating the malicious or phishing URL with the help of APIs and machine learning algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92a66da25c73e78409cea7bab006bd2e https://doi.org/10.5121/csit.2014.4727 Zobrazit plný text záznamu